AI Engineer

AI Engineer - Job Description
Position SummaryOur client's AI & Data function focuses on helping organisations solve complex business challenges through the effective use of data, artificial intelligence, and modern technology platforms.The team delivers end-to-end, business-driven solutions that integrate data, technology, and processes across organisations and their wider ecosystems, including partners, suppliers, and customers.The focus is on creating scalable, high-quality, and governed solutions that enable better decision-making, operational efficiency, and digital transformation.
The OpportunityAs an AI Engineer, you will work at the intersection of data, engineering, and artificial intelligence to build practical, scalable solutions that deliver real business value.You'll collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications that support analytics, automation, and insight generation.This role suits someone who enjoys:

• Working with modern data and AI technologies
• Delivering clean, reliable, production-ready solutions
• Translating business needs into technical outcomes

Key ResponsibilitiesData Engineering & Development

• Design, build, and maintain scalable data pipelines, datasets, and data models
• Support analytics, reporting, and AI-driven use cases
• Work with both structured and unstructured data sources

AI & Machine Learning

• Develop and deploy machine learning models for:
  • Prediction
  • Classification
  • Automation
  • Insight generation
• Support the full life cycle from experimentation through to production

Generative AI & LLM Applications

• Develop AI-powered solutions using large language models (LLMs)
• Apply prompt engineering and context engineering techniques
• Build use cases such as:
  • Chatbots
  • Document processing
  • AI copilots
  • Workflow automation

Data Integration & Quality

• Integrate data from multiple internal and external sources
• Ensure data quality, consistency, and reliability across platforms

Collaboration & Stakeholder Engagement

• Work closely with:
  • Business Analysts
  • Data Analysts
  • Product teams
• Translate business requirements into scalable technical solutions
• Communicate technical concepts clearly to non-technical stakeholders

Testing, Monitoring & Optimisation

• Implement testing, validation, and monitoring processes
• Ensure:
  • Data accuracy
  • Model performance
  • System reliability
• Optimise pipelines, storage, and models for performance and scalability

Documentation & Governance

• Produce clear technical documentation (pipelines, models, logic)
• Follow best practices around:
  • Data governance
  • Security
  • Privacy
  • Compliance

Skills & ExperienceEssential

• Experience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer)
• Strong programming skills (Python, SQL or similar)
• Experience building and maintaining data pipelines
• Working with structured and unstructured data

Desirable

• Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
• Exposure to Generative AI tools/frameworks (e.g. LLMs, LangChain)
• Experience with cloud platforms (Azure, AWS, or GCP)
• Familiarity with data platforms, data warehouses, or big data technologies

Soft Skills

• Strong analytical and problem-solving ability
• Attention to detail and commitment to quality
• Ability to communicate technical ideas effectively
• Experience working in Agile environments

Additional Requirements

• Candidates may be required to undergo background checks or security clearance depending on client/project requirements.

About the TeamYou'll be working within a collaborative technology and data environment focused on delivering transformation for clients across multiple industries.The team combines deep technical expertise with innovative thinking to help organisations modernise their data and AI capabilities, unlock value, and improve outcomes for customers, employees, and stakeholders.

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